陳伯云1，張永兵1 王剛2 李國強3 李明宏4 范影樂5 鄭豪鋒5 王超5

(1.水利部南京水利水文自動化研究所，江蘇 南京 210012;2.江蘇南水科技有限公司，江蘇 南京 210012;3.杭州市水文水資源監測中心，浙江 杭州 311100;4.浙江嵊州市水文站，浙江 嵊州312400;5.杭州開閎流體科技有限公司，浙江 杭州 311100)

　　摘要：為加快水文監測新技術與裝備在水文測報中的應用，在浙江嵊州站、江蘇前垾村水文站分別建設智控掃描式聲學多普勒流速儀測流系統示范應用站點。智控掃描式聲學多普勒流速儀測流系統，通過水下智控轉動掃描測流方式使傳統的一維流速剖面數據擴展為二維掃描流速數據，并融合計算流體動力學、人工智能等多學科前沿技術，建模仿真河道流場以計算實時流量，原理上可有效提高測流精度和降低人工比測率定分析的工作量。通過對示范應用站點半年時間運行的穩定性和流量監測數據比測分析，得出示范應用站點測流系統穩定可靠，流量監測和人工監測數據趨勢基本一致;在流態快速變化期間，測流結果存在一定遲滯性，可采用提升掃描速度的方式提高對流速變化的敏感度;流體及神經網絡算法模型還需要進一步優化，結合多模型算法提高智控掃描測流系統的智能化能力，進一步提高流量監測的精度。

　　關鍵詞：流量在線監測;聲學多普勒測流儀;ADCP;智控掃描;示范應用

　　Application discussion of intelligent scan acoustic Doppler flow measurement system

　　CHEN Boyun1, ZHANG Yongbing1, WANG Gang2, LI Guoqiang3, LI Minghong4, FAN Yingle5, ZHENG Haofeng5, WANG Chao5

　　(1. Nanjing Research Institute of Hydrology and Water Conservation Automation, Ministry of Water Resources, Nanjing 210012, China;

　　2. Jiangsu NIHWA Technology Co., Ltd., Nanjing 210012, China ;

　　3. Hangzhou Hydrological and Water Resources Monitoring Center, Hangzhou 311100, China;

　　4. Zhejiang Shengzhou Hydrologic Station, Shengzhou 312400, China;

　　5. Hangzhou Kaihong Fluid Technology Co., Ltd., Hangzhou 311100, China)

　　Abstract：In order to speed up the application of new hydrological monitoring technology and equipment in hydrological forecasting, intelligent scan acoustic Doppler (ADCP) flow measurement system demonstration application stations are built in Shengzhou hydrological station in Zhejiang Province and Qianhan village hydrological station in Jiangsu Province respectively. The intelligent scan acoustic Doppler (ADCP) flow measurement system can expand the traditional one-dimensional velocity profile data into two-dimensional scanning velocity data by means of underwater intelligent rotating scanning flow measurement. The system integrates the computational fluid dynamics, artificial intelligence and other multidisciplinary cutting-edge technologies to model and simulate the river flow field to calculate the real-time flow. In principle, it can effectively improve the flow measurement accuracy and reduce the manual calibration and analysis workload. Through the stability analysis of half a year operation of the demonstration application site and comparison analysis of flow monitoring data, it is concluded that the flow measurement system of the demonstration application site is stable and reliable, and the trend of flow monitoring data is basically the same with that of manual monitoring data; During the rapid change of flow regime, the flow measurement results have a certain hysteresis, and the sensitivity to flow velocity changes can be improved by increasing scanning speed; The fluid and neural network algorithm model need to be further optimized, and the intelligence ability of intelligent control scanning flow measurement system need to be improved combined with multi-model algorithm, so as to further improve the accuracy of flow monitoring.

　　Keyword：online discharge monitoring; acoustic Doppler current meter; ADCP; intelligent scanning; demonstration application